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A Survey of the Final Year University Students

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I don't know what should be the title of this blog post, but let's call it " A survey of the final year university students ". Pretty long title, huh? Okay, let me tell you about this survey... The story behind this thing: Well, one day I thought about writing a post on Facebook to ask people about their sentiments and reviews regarding the final year of university life, then another thought knocked my head to write a full blog post on this topic. Then I disseminated a google form for this purpose. The google form was saying: "Hello, final semester people! I thought to collect reviews of 2020 graduates specifically of NUST and other IT universities. I am planning to add these to my blog post. Please take a few seconds to fill this form, thank you." So that was a brief story behind this whole thing, Now let's have a look at the most awaited questions and the corresponding responses...  Question#1:  Do you feel like a better hu
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Web Applications

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When did you open your Facebook last time? Have you connected with other people on Linked In? If not then, you might have sent an email... What am I talking about? Image Source That's right! I am talking about Web applications . Web applications are the applications that run over the web or an Internet. There are some differences between website and web applications. Difference between Websites and Web applications.. The main differences between websites and web applications are as under: Websites: Provide information as a static file. Not very much interactive. Don't allow the user to do transactions. For example: news feeds, blogs, images etc. Web applications: Provide dynamic data. Interactive rather than just informative. Allow the user to do transactions. For example: bidding sites, on-line shopping sites, mailing sites, facebook, Twitter and Wikipedia etc. How do they work? On an abstract and simple level, The client(web browser
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How to take notes in Freshman Year ?

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Yes, you have to take notes in the university class!  Before talking about the notetaking strategy, we will understand the importance of taking notes. Importance Of Taking Notes No doubt there are a few students who can produce good results without even taking notes in the class. But their number is least. Most of us need to make good notes in the class especially when we are in university. Notes are important because: They help us to keep track of what we have studied in the whole semester. Notes help us to prepare for the exams, in a very short time. We can refer to our notes for short quizzes in the eleventh hour. In addition to reading and listening, writing notes increases the ability to memorize the important concepts. It helps you to realize that you have done something in the class. Now that we have understood Why to take notes? Let's dig into the notetaking strategy  Notes taking Strategies One of my friends Ramlah Aamir Aziz used to take note
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Web Technologies e.g. SASS, LESS and Doctrine

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Web technologies, as the name indicates are the technology used over the world wide web. These technologies help the users to communicate with each other. You may have learned in your social sciences subject that Language is the main source of communication. Similarly when computers communicate, they also use certain specific language or languages for this.  As we all know HTML is the hypertext markup language. It is the core of web technologies. Then comes JavaScript, React, Angular, Ruby, CSS and so on.  Everyone likes beauty. CSS adds beauty to your page. But you need to write a lot of code for minute things in the style sheet. So to make the task of web developers convenient, Henry Thorton  with  Natalie Weizenbaum   designed and developed SASS (Syntactically Awesome Style Sheets) respectively. SASS is the style sheet language written in PHP. It is an extension to CSS and .css file can be converted to .sccs file. SASS is backward compatible meaning, it is compatible with al
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Data Engineering Tools

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   Data is a new oil. To channelize this data we need proper pipelines. These pipelines are mostly called ETL or data pipelines.  There are various tools out there to work out these Extract, Transform, and Load (ETL) operations.  Some of the scripting tools are:  - Python - SQL and NoSQL Apache provides a wide range of products that can be used as Data Engineering tools.  Some of the amazing apache DE services comprised of; - Hadoop - Spark - Kafka - Cassandra - Hive In addition, some cool DE tools are: - Tableau - Talend - MapReduce These DE tools provide a way to manage the data pipelines in a more effective, efficient, and better way.  Almost every Data-Oriented company in the corporate sector is highly dependent upon these technologies. They are leveraging many of the above-mentioned mechanisms for promising Data Services and Architecture. That's it for today. Hope you have enjoyed this article. If you want to know more about data or software related concepts, let me know in th
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An Interview with Pakistani Data Scientist : Dr. Zeeshan Ul Hassan Usmani

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Dr. Zeeshan-ul-Hassan Usmani, the name known for Data Science, Predictify me, Eisenhower fellowship  and most importantly motivation for many of the students. He is the Author of book like  (C++) ++سی/سی ,  Bit Coin Block Chain aur Crypto Currency بٹ کوائن، بلاک چین اور کرپٹو کرنسی  and many other, you can visit them here . Today "Mainly: The Software Engineering Blog" asked him some of the questions, as an interview and we are very glad that he gave his precious time to answer them. It was kinda "Remote Interview"... not the traditional one.. The Interview Question:  How can you describe " Dr. Zeeshan ul Hassan Usmani " ? ANSWER: I am a shameless idealist. We are all idealists at some stage of our lives but then it fades away and we live as a mediocre. I don’t want it to fade away. I remind myself almost every day that I need to make my today better than my yesterday, and the challenge is keep getting harder J . We only need to co
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7 Semesters Learning Experience : Do's and Don'ts

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Here is what I learned in my 7 semesters of Undergraduate degree semester wise, by learning I mean those things that I think we should do in the particular phase of our university education. You might agree or disagree with these things, or you may add yours to it. so without further ado, let's get started: 1st Semester Don't get into inferiority or superiority complex at any level Practice a lot Focus on basics Don't jump to the last step Take baby steps Try to do best in Projects  Observe your surroundings Keen look over market trends Have an online presence e.g. LinkedIn etc. 2nd Semester Practice at a higher level e.g. on real-world projects know market trends 3rd Semester Build your Resume Have an internship 4th Semester Internships  Explore different places 5th Semester Freelancing 6th Semester Freelancing Take responsibility for some of your expenses like daily small expenses 7th Semester Get a Job Focus on the Fi
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Data Analysis : Reading Habit Analysis

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Reading in the 21st century? Are you serious !!! Dr. Suess, an American writer once said: The more that you read, the more things you will know. But how? How to read so much! Why read? How to get motivated to read? If you are in search of these answers, then you are on the right page! In the quest to find the answer to the question: “What motivates you to read?”, I asked different people to respond to this question. Initially, I thought to write a simple article based on different responses I got. then I wondered if I could critically analyze the responses. Hm… critically analyze! but, how? Well, in this era when even kids are using Machine Learning for predicting the amount of Eidi they would get from their grandpa, why couldn’t we use Machine Learning for analyzing reading habit of different people. So, to get started with our analysis, we need some material. Things we need Dataset Machine Learning algorithms Kaggle.com And I think we will run out of
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Applications of Data Engineering

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In a previous blog post about data engineering, we went through several many concepts related to data engineering such as data modeling, and then we went through different types of databases, for example, relational databases and we also got a glimpse of relational as well as NoSQL databases. And in today's blog post we will be writing about data engineer applications. Which are basically the use cases of data engineering 1st let's see what data engineering applications mean; so basically when we have data and we have engineered it then there are several things that we can do with that data and these things that we can do with processed data are the use cases of the data engineering. For example: If we have filled our containers with the data then it's not of any good use if it is not clean and well-formed. If your data is well-formed and if there are no logical mistakes, missing values, and garbage then we can easily perform the use cases and applications of data enginee
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E-Commerce : Platforms

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Before digging into E-commerce platforms, let's first understand what an E-commerce actually is? E-Commerce... According to the Tokenization Rule , E-commerce is the combination of "E" and "Commerce".  The word Commerce means trade or buying and selling of items, goods, services, hardwares and, softwares... etc. And " E " stands for "Electronic", electronic means something like electricity, like signals, like something in the form of electrons (at lower level).  Image Source So, the word " E-COMMERCE " means: " A type of trade, that is done using electronic devices (computer, mobile or ATM machines etc). "   And to achieve electronic commerce, what's the most important thing? think over it!  Yeah that's correct! your own Internet is the most important thing to do E-commerce.  Major areas of E-commerce are: On-line shopping or retailing On-line bidding or auction On-line soft
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